loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Simone Facchini 1 ; Giacomo Giorgi 2 ; Andrea Saracino 2 and Gianluca Dini 1

Affiliations: 1 Dipartimento di Ingegneria dell’Informazione, University of Pisa, Italy ; 2 Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy

Keyword(s): Smart Home Environment, Intrusion Detection System, Machine Learning, Distributed Systems.

Abstract: This paper proposes a novel multi-level Distributed Intrusion Detection System in a Smart Home environment. The proposed approach aims to detect unexpected behaviors of a network component by exploiting the collaboration between the different IoT devices. The problem has been addressed by implementing an architecture based on a distributed hash table (DHT) that allows sharing network and system information between nodes. A distributed Intrusion Detection System, located in each node of the network, represents the core component to detect malicious behavior. The proposed Intrusion Detection system implements a binary classifier, based on a machine learning mechanism, which analyzes, in a novel way, the aggregation of features extracted from data coming from kernel, network and DHT level. In this work we present our idea with some preliminary experiments performed in order to compare different classifiers results on this kind of data with respect to a specific malicious behavior.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.201.95.84

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Facchini, S.; Giorgi, G.; Saracino, A. and Dini, G. (2020). Multi-level Distributed Intrusion Detection System for an IoT based Smart Home Environment. In Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP, ISBN 978-989-758-399-5; ISSN 2184-4356, pages 705-712. DOI: 10.5220/0009170807050712

@conference{icissp20,
author={Simone Facchini. and Giacomo Giorgi. and Andrea Saracino. and Gianluca Dini.},
title={Multi-level Distributed Intrusion Detection System for an IoT based Smart Home Environment},
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP,},
year={2020},
pages={705-712},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009170807050712},
isbn={978-989-758-399-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP,
TI - Multi-level Distributed Intrusion Detection System for an IoT based Smart Home Environment
SN - 978-989-758-399-5
IS - 2184-4356
AU - Facchini, S.
AU - Giorgi, G.
AU - Saracino, A.
AU - Dini, G.
PY - 2020
SP - 705
EP - 712
DO - 10.5220/0009170807050712